Triple

T10600676
Position Surface form Disambiguated ID Type / Status
Subject Luigi Cagni E275736 entity
Predicate workLocation P7 FINISHED
Object Italy E863 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Italy | Statement: [Luigi Cagni, workLocation, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italy
Context triple: [Luigi Cagni, workLocation, Italy]
  • A. Italy chosen
    Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
  • B. Italy
    Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
  • C. Italia
    Italia is a feminine given name, often inspired by the country of Italy and used in various cultures.
  • D. Włochy
    Włochy is a district in the southwestern part of Warsaw, Poland, known for its mix of residential areas, industrial zones, and major transport infrastructure including the city’s main airport.
  • E. Italeni
    Italeni is the site in present-day South Africa where a notable 1838 battle occurred between Voortrekker forces and Zulu warriors during the era of the Great Trek.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded52f288190b40288d0acbe009b completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e6e28a481909a90059e6ce51f6d completed April 10, 2026, 8:32 p.m.
Created at: April 8, 2026, 7:31 p.m.